Decision Studio

Project intake

Define the decision question

Capture the project, policy, procurement, retrofit, supplier, or strategy decision before scoring it.

Project / decision name Organization type SectorTransportation and logisticsManufacturingReal estate and buildingsFood and agricultureEnergy and utilitiesHigher education / nonprofitPublic sector / municipalOther Location Time horizon1 year3 years5 years10 years20 years Primary decision typeCapital projectPolicy choiceProcurement / supplier comparisonFacility retrofitProgram interventionStrategy portfolio

Decision questionShould the company electrify part of its delivery fleet over the next five years while maintaining service reliability and controlling total cost of ownership? Constraints, tradeoffs, or data gapsUpfront vehicle and charging infrastructure cost; electricity source uncertainty; driver training; route variability; maintenance capacity; possible grant funding; customer pressure for lower-carbon delivery.

Run Decision AnalysisReset Demo InputsCopy Shortcode

v2.1.0 · Unified Decision Object Model

One decision object across the platform

Promote the current Decision Packet into a first-class object that can carry evidence, models, scenarios, uncertainty, provenance, recommendations, governance, and outcomes across Library, Research Librarian, Site Intelligence, Workbench, Research Lab, Platform Core, and Decision Studio.

Build Decision ObjectView Object TemplateView Platform ContextProject Back to PacketDownload Object JSON

Compatibility boundary: Decision Packet 2.0 remains supported. v2.1.0 adds an additive, reversible Decision Object representation; it does not silently discard packet fields or claim that linked applications accepted an artifact.

v2.2.0 · Evidence & Source Bundles

Trace claims back to sources

Build reusable source bundles, map evidence claims to source identities, expose citation gaps and contradictions, and attach the resulting evidence bundle to the active Decision Object.

Sources JSON[{"source_id":"src-example","title":"Example source","source_type":"report","citation":"Example citation","review_status":"reviewed"}]Evidence JSON[{"evidence_id":"ev-example","claim":"Example claim","stance":"supports","source_ids":["src-example"],"review_status":"reviewed"}]

Build Source BundleBuild Evidence BundleAttach to Decision ObjectDownload Evidence JSON

Evidence boundary: Citation coverage, source identity, review state, and contradictions are made visible. The Studio does not automatically determine whether a claim is true or whether evidence is sufficient for professional approval.

v2.7.0 · Site Intelligence Context Integration

Bring real-world context into the decision without turning signals into conclusions

Capture Site Intelligence signals with source identity, geography, observation time, freshness, methodology, limitations, provenance, and explicit scenario relationships.

Site Intelligence versionCapture geography fallbackSignals JSON[{"signal_id":"weather.active-alerts","category":"climate_environment","label":"Active weather alerts","value":3,"unit":"alerts","source_name":"NOAA / National Weather Service","source_url":"https://www.weather.gov/","geography":{"country":"USA","region":"Missouri"},"observed_at":"2026-09-13T07:00:00Z","freshness_state":"live","methodology":{"method":"official alert feed"},"limitations":["Coverage depends on issuing authority and feed availability."],"scenario_refs":["scenario:weather-disruption"]}]

Build Context BundleValidate BundleAttach to Decision ObjectDownload Context JSON

Interpretation boundary: context signals remain descriptive source observations. Scenario links are explicit relationships only; they do not change scores, infer likelihood, establish causality, or generate a recommendation.

v2.8.0 · Decision Graph & Dependency Mapping

See what the decision depends on before the reasoning disappears into a final answer

Map evidence, assumptions, models, Site Intelligence context, scenarios, criteria, alternatives, uncertainty, tradeoffs, requests, recommendations, and decisions as an inspectable dependency graph.

Dependency boundary: edges show declared or structural relationships, not causality. Fan-out is not importance. Change impact creates a review queue; it does not invalidate records or change recommendations automatically.

Explicit dependency edges JSON Changed node IDs JSON

Include deterministic structural edges

Build Decision GraphValidate GraphTrace Change ImpactAttach to Decision ObjectDownload Graph JSON

Build the graph to inspect dependencies, orphan records, cycles, unresolved references, and downstream review paths.

v2.9.0 · Recommendations, Review & Challenge

Turn a selected option into a challengeable recommendation record—not an automatic answer

Record the human-selected candidate, explicit support and counterarguments, reviewer challenges, conditions, and a human disposition while preserving the Decision Graph behind it.

Selected alternative ID Human reviewer / actor Rationale JSON Support node IDs JSON Counterargument node IDs JSON Conditions JSON Challenge typeEvidence gapAssumption disputeModel riskScenario fragilityCriterion weightingUncertaintyDependency breakContextual conflictImplementation riskOther Challenge statement Human dispositionNot yet recordedAccept for decisionAccept with conditionsReviseDeferReject Disposition rationale

Explicitly acknowledge and override open challenges for an accepting disposition

Build CandidateAdd ChallengeEvaluate ReviewRecord Human DispositionAttach to Decision ObjectDownload Review JSON

Build a recommendation candidate to begin review.

Review boundary: A candidate is not a winner. Scores do not imply approval. Challenges are resolved or explicitly overridden by people. A disposition does not execute a decision or authorize external action.

v3.0.0 · Connected Decision Intelligence

See the whole decision lifecycle as one connected system

Summarize the recorded path from framing through monitoring, expose the first incomplete stage, preserve cross-product lineage, and propose bounded next-action routes without automatic transitions or execution.

FrameEvidenceAnalyzeCompareStressReviewDecideMonitor

Build Lifecycle SnapshotValidate SnapshotAttach to Decision ObjectAttach to Decision PacketDownload JSON

Connected intelligence boundary: Readiness is not approval. Lifecycle position is not an automatic transition. Suggested routes do not execute Lab, Workbench, Site Intelligence, Library, or Research Librarian work. Human decision ownership is preserved.

v2.3.1 · Criteria, Alternatives & Tradeoff Matrix

Compare choices without hiding the judgment

Define criteria and weights, name candidate alternatives, enter evidence-linked evaluations, and build a transparent comparison matrix with coverage, threshold, and review diagnostics.

Criteria JSON[{"criterion_id":"cost","name":"Lifecycle cost","weight":40,"direction":"minimize","scale":{"min":0,"max":100}},{"criterion_id":"impact","name":"Sustainability impact","weight":60,"direction":"maximize","scale":{"min":0,"max":10}}]Alternatives JSON[{"alternative_id":"baseline","name":"Baseline"},{"alternative_id":"option-a","name":"Option A"}]

Evaluations JSON[{"alternative_id":"baseline","criterion_id":"cost","value":70,"review_status":"reviewed"},{"alternative_id":"baseline","criterion_id":"impact","value":4,"review_status":"reviewed"},{"alternative_id":"option-a","criterion_id":"cost","value":45,"review_status":"reviewed"},{"alternative_id":"option-a","criterion_id":"impact","value":8,"review_status":"reviewed"}]

Build CriteriaBuild AlternativesBuild Tradeoff MatrixAttach to Decision ObjectDownload Matrix JSON

Comparison boundary: Weighted scores and thresholds expose tradeoffs. They do not select a winner or create an automatic recommendation. Criteria, weights, evidence, and consequential choices remain subject to accountable human review.

v2.4.0 · Uncertainty, Sensitivity & Confidence

Test how much the comparison moves

Register explicit bounds, perturb criterion weights, test evaluation ranges, inspect score envelopes and ordering changes, and assess process confidence from visible coverage dimensions.

Uncertainties JSON[{"uncertainty_id":"u-option-a-cost","target_type":"evaluation","target_id":"evaluation-3","parameter":"value","label":"Option A lifecycle cost range","lower":35,"upper":60,"review_status":"reviewed","source_refs":["src-cost"]}]Sensitivity configuration JSON{"weight_perturbation_percent":20}

Build Uncertainty RegisterRun SensitivityAssess ConfidenceAttach to Decision ObjectDownload Analysis JSON

Confidence boundary: Process confidence measures documentation, review, evidence linkage, uncertainty characterization, and sensitivity coverage. It is not a probability that an alternative or recommendation is correct, and no sensitivity result selects a winner.

v2.6.0 · Lab + Workbench Native Handoffs

Move analytical artifacts without losing their origin

Receive Research Lab experiments and analyses or Workbench calculations and models as typed, fingerprinted source artifacts. Send an unresolved decision question back to Lab or Workbench and retain the request/return relationship in the Decision Object.

Source / target productResearch LabWorkbenchSource versionArtifact JSON{"artifact_id":"lab:study:example","schema":"sc-lab-study-result/1.0","artifact_type":"analysis-result","result":{"finding":"Example bounded result"},"assumptions":[],"uncertainty":[],"provenance":[{"source":"research-lab"}],"review_state":"needs_review"}Analysis / computation request{"question":"What additional analysis would reduce this decision uncertainty?","needed_for":"scenario:stress","requested_artifact_types":["sensitivity-analysis"]}

Receive Native HandoffCreate Analysis RequestAttach Returned ArtifactDownload Handoff JSON

Execution boundary: Lab owns experiments and scientific analysis. Workbench owns calculations, models, simulations, and engineering computation. Decision Studio requests, receives, links, and reviews those artifacts; a handoff receipt is not validation or approval.

Catalyst module navigation and handoffs

Open the specialized module you need, carry the Decision Packet with you, and return its artifact for synthesis

Decision Studio v2.0.1 promotes Canvas, Data, Analytics R, Global Impact, Narrative Risk, Finance, and Grit from a hidden compatibility dropdown into a visible working pathway. Routes are configurable in WordPress, and packet handoffs remain browser-local unless a connected product explicitly imports them.

Specialized Catalyst modules

Frame → Anchor → Model → Measure → Review → Evaluate → Sustain

Use Send Decision Packet to place a bounded handoff in browser storage and open the selected module with a return URL. Use Import Artifact when you already exported JSON from that module.

FrameRoute configured · Adapter ready

Problem framing and design

Catalyst Canvas

Frame the challenge, stakeholders, assumptions, journeys, prototypes, and experiments before decision synthesis.

Packet target

decision_framing

Artifact

framing

Contract

scds-platform-artifact/1.0 + legacy adapter

Open Module → Send Decision Packet Import Artifact

AnchorRoute configured · Adapter ready

Evidence and measurement

Catalyst Data

Attach entities, indicators, periods, observations, measurements, methods, sources, and provenance.

Packet target

evidence_and_measurement

Artifact

evidence_records

Contract

scds-platform-artifact/1.0 + legacy adapter

Open Module → Send Decision Packet Import Artifact

ModelRoute configured · Adapter ready

Scenarios and uncertainty

Catalyst Analytics R

Carry governed scenarios, assumptions, uncertainty, sensitivity, stress tests, rankings, and interpretation boundaries.

Packet target

scenarios

Artifact

scenario_analysis

Contract

scds-platform-artifact/1.0 + legacy adapter

Open Module → Send Decision Packet Import Artifact

MeasureRoute configured · Adapter ready

Impact records

Global Impact Catalyst

Track initiatives, goals, indicators, baselines, current values, targets, sources, confidence, and progress.

Packet target

impact_measurement

Artifact

impact_records

Contract

scds-platform-artifact/1.0 + legacy adapter

Open Module → Send Decision Packet Import Artifact

ReviewRoute configured · Adapter ready

Claims and narrative exposure

Narrative Risk

Review claims, evidence strength, contradictions, uncertainty, consequence, volatility, and correction needs.

Packet target

claim_and_risk_review

Artifact

claim_reviews

Contract

scds-platform-artifact/1.0 + legacy adapter

Open Module → Send Decision Packet Import Artifact

EvaluateRoute configured · Adapter ready

Financial tradeoffs

Catalyst Finance

Evaluate NPV, ROI, payback, benefit-cost logic, carbon cost, assumptions, risk adjustments, and decision notes.

Packet target

financial_tradeoffs

Artifact

finance_analysis

Contract

scds-platform-artifact/1.0 + legacy adapter

Open Module → Send Decision Packet Import Artifact

SustainRoute configured · Adapter ready

Execution and recovery

Catalyst Grit

Record pressure, disruption, capacity, support, recovery actions, next steps, implementation risks, and reassessment points.

Packet target

execution_and_recovery

Artifact

execution_recovery

Contract

scds-platform-artifact/1.0 + legacy adapter

Open Module → Send Decision Packet Import Artifact

Handoff status: No Catalyst module handoff has been prepared in this browser session.

Connected platform services

Source → Research → Observe → Calculate → Validate → Trace → Decide

These services provide current typed platform artifacts, source context, experiments, calculations, and shared identities around the Decision Packet.

Knowledge LibraryResearch LibrarianSite IntelligenceWorkbenchResearch LabPlatform CoreDecision Studio

Sources and citations

Knowledge Library

Import durable source records, quotations, Harvard-style citations, bibliographies, collections, and evidence notes.

Packet target: evidence_registry

Open product → Mark for packet

Research routes and gaps

Research Librarian

Import research routes, recommended sources, evidence gaps, related titles, and follow-up questions.

Packet target: research_routes

Open product → Mark for packet

Indicators and observations

Site Intelligence

Import indicators, country dossiers, live observations, methodology records, source health, and freshness context.

Packet target: live_evidence

Open product → Mark for packet

Calculations and models

Workbench

Import formulas, calculations, graphs, models, code outputs, validation checks, assumptions, and technical reports.

Packet target: calculation_trace

Open product → Mark for packet

Experiments and scientific artifacts

Research Lab

Import experiments, notebooks, datasets, instrument context, validation results, provenance, and scientific reports.

Packet target: experimental_evidence

Open product → Mark for packet

Entities and Evidence Ledger

Platform Core

Import canonical entities, Evidence Ledger records, provenance links, identifiers, signatures, and shared exchange metadata.

Packet target: platform_registry

Open product → Mark for packet

Decision synthesis

Decision Studio

Synthesize typed evidence into scenarios, readiness findings, an auditable brief, and export bundle.

Packet target: integrated_decision_brief

Open product → Mark for packet

v2.0.1 repair: Catalyst modules are first-class navigation targets again. The existing compatibility adapters remain intact, so exported Canvas, Data, Analytics R, Global Impact, Narrative Risk, Finance, and Grit JSON can still be normalized into the correct Decision Packet sections.

Artifact import

Paste a Catalyst module or connected-product artifact

Select the product that created the export, paste its JSON, and validate it before merging. Decision Studio preserves the original source snapshot while mapping supported fields into the packet.

Source product Auto-detect Catalyst Canvas Catalyst Data Catalyst Analytics R Global Impact Catalyst Narrative Risk Catalyst Finance Catalyst Grit Knowledge Library Research Librarian Site Intelligence Workbench Research Lab Platform Core Import action Validate and merge into packet Preview normalized patch only

Artifact JSON

Validate & ImportLoad Sample ArtifactDownload Decision Packet JSON

Preview Decision PacketRun Current Decision Analysis

Brief readiness & review status

Quality gates before export

Review whether the Decision Packet is ready for a draft brief, reviewed export, or further evidence work. The readiness gate checks framing, evidence, scenarios, impact, claims, finance, recovery, audit/provenance, and synthesis.

Readiness: readiness scoring now surfaces section status, unresolved issues, required reviews, and export gates. It is a workflow quality screen, not approval or professional signoff.

Check Brief Readiness Generate Review Status Download Readiness JSON Generate Integrated Brief

Decision governance & review center

Assign accountability, control review, and record human approval

Move the Decision Packet through a controlled lifecycle with a named owner, assigned reviewers, approval conditions, exceptions, conflict declarations, sign-offs, expiration dates, and a tamper-evident review history.

Human control: Decision Studio may flag missing evidence or contradictions, but it cannot approve, certify, assure, or professionally sign off a decision.

Current stateDraftEvidence gatheringAnalysisReviewRevision requiredApprovedRejectedDeferredImplementedRetired Requested stateReviewRevision requiredApprovedRejectedDeferredImplementedRetired Decision owner Owner role Review actor Actor role Approval expires Reassessment due

Transition reason

Reviewers JSON Approval conditions JSON Exceptions JSON Conflict declarations JSON Sign-offs JSON

Evaluate GovernanceRecord State TransitionLoad Complete Review SampleDownload Governance JSON

v1.12.0 collaborative workspace

Collaborative Decision Room

Private WordPress-managed rooms for participants, comments, change requests, snapshots, version comparison, notifications, and approved-version locks.

Private by default

Sign-in required. Decision Rooms are private records and are not available to anonymous visitors.

Institutional and Domain Decision Packs

Apply a reusable decision methodology without hiding the evidence or governance requirements

Select a pack to populate required intake, criteria, evidence, indicators, Workbench models, review roles, risk questions, readiness rules, and briefing templates.

Boundary: Decision Packs organize institutional review. They do not provide legal, engineering, financial, medical, compliance, assurance, or professional certification. AI cannot approve or sign off a decision.

Decision PackClimate and Energy StrategyInfrastructure and Capital InvestmentUrban ResilienceSustainable ProcurementResponsible AI and Technology GovernanceResearch Program ApprovalEnvironmental InterventionHumanitarian and Development ProgrammingOrganizational PolicyAdvisory Diagnostic and Recommendation Applied by

Organization and intake responses JSON{"decision_question":"Should the proposed option proceed?","geography":"United States / Midwest","time_horizon":"5 years","baseline_year":"2026","emissions_boundary":"Operational and material lifecycle boundary","energy_system_scope":"Facilities and fleet"} Evidence available (comma-separated requirement IDs)emissions_inventory, energy_consumption_baseline, technology_performance, cost_and_financing, grid_or_fuel_context, stakeholder_distribution Reviewer assignments JSON[{"role":"decision_owner","name":"Decision owner"},{"role":"energy_subject_matter_reviewer","name":"Energy reviewer"},{"role":"finance_reviewer","name":"Finance reviewer"},{"role":"community_or_equity_reviewer","name":"Equity reviewer"},{"role":"governance_reviewer","name":"Governance reviewer"}]

Preview PackValidate ReadinessApply to Decision PacketDownload Pack JSON

climate energy

Climate and Energy Strategy

Evaluate decarbonization, energy transition, resilience, affordability, and implementation pathways.

6 evidence requirements · 6 criteria · 5 review roles

infrastructure capital

Infrastructure and Capital Investment

Compare capital programs using lifecycle performance, resilience, public value, delivery risk, and maintainability.

6 evidence requirements · 6 criteria · 5 review roles

urban resilience

Urban Resilience

Assess urban interventions across hazards, infrastructure interdependencies, vulnerable populations, and recovery capacity.

6 evidence requirements · 6 criteria · 5 review roles

procurement

Sustainable Procurement

Compare procurement choices using total cost, supplier risk, lifecycle impact, labor and human-rights concerns, and contract governance.

6 evidence requirements · 6 criteria · 5 review roles

responsible ai

Responsible AI and Technology Governance

Evaluate AI or digital-system adoption across purpose, evidence, rights, safety, accountability, data governance, and operational controls.

6 evidence requirements · 6 criteria · 5 review roles

research governance

Research Program Approval

Review a proposed research program across significance, methodology, feasibility, ethics, data stewardship, and reproducibility.

6 evidence requirements · 6 criteria · 5 review roles

environmental management

Environmental Intervention

Compare restoration, conservation, remediation, or management interventions using ecological evidence, uncertainty, durability, and community effects.

6 evidence requirements · 6 criteria · 5 review roles

humanitarian development

Humanitarian and Development Programming

Assess programs across need, protection, effectiveness, localization, feasibility, accountability, and conflict sensitivity.

6 evidence requirements · 6 criteria · 5 review roles

policy governance

Organizational Policy

Evaluate organizational policies across purpose, authority, evidence, feasibility, rights, implementation, and reviewability.

6 evidence requirements · 6 criteria · 5 review roles

advisory

Advisory Diagnostic and Recommendation

Structure evidence-based advisory diagnostics, options, recommendations, implementation conditions, and client approval records.

6 evidence requirements · 6 criteria · 5 review roles

Decision Briefing and Publication Studio

Turn a governed Decision Packet into a citation-native publication

Create executive memos, technical reports, board briefs, alternatives analyses, public dossiers, appendices, implementation plans, dissenting views, and monitoring plans.

Governance boundary: reviewed and public publications remain blocked until the Decision Governance and Review Center permits release. Print-ready HTML may be saved as PDF through the browser after human review.

Publication typeExecutive Decision MemoTechnical Decision ReportBoard or Leadership BriefAlternatives AnalysisPublic Decision DossierEvidence AppendixAssumptions RegisterMethodology StatementAudit and Provenance AppendixImplementation PlanMinority or Dissenting ViewPost-Decision Monitoring Plan AudienceInternal working publicationReviewed institutional publicationPublic publication Title Prepared by

Subtitle Section visibility JSON{"executive_summary":"public","evidence":"public","governance":"institutional","audit_provenance_appendix":"private"} Redaction rules JSON[{"type":"replace_text","term":"confidential","replacement":"[REDACTED]"}] Publication targets (comma-separated)

Generate PublicationApply Redaction PreviewCreate Publication HandoffsDownload JSONDownload MarkdownDownload HTMLPrint / Save PDF

v1.14.0 lifecycle control

Outcomes, Monitoring, and Reassessment

Track commitments after approval, compare actual results with expected outcomes, surface invalidated assumptions and emerging risks, and create human-owned reassessment, amendment, or retirement records.

Monitoring record JSON{ "schema": "scds-outcome-monitoring/1.0", "monitoring_version": "3.12.0", "status": "planning", "decision_status": "not_implemented", "decision_owner": [], "implementation_owner": [], "commitments": [], "targets": [], "indicators": [], "site_intelligence_connections": [], "monitoring_schedule": { "cadence": "monthly", "next_review_at": "", "last_reviewed_at": "" }, "implementation_milestones": [], "emerging_risks": [], "assumption_invalidations": [], "reassessment_triggers": [], "trigger_evaluations": [], "monitoring_events": [], "reassessment_history": [], "implementation_amendments": [], "post_implementation_reviews": [], "lessons_learned": [], "decision_registry_entry": [], "summary": { "target_count": 0, "targets_on_track": 0, "targets_at_risk": 0, "targets_off_track": 0, "milestones_overdue": 0, "active_material_risks": 0, "invalidated_assumptions": 0, "triggered_reassessments": 0 }, "boundaries": [ "Monitoring records observed results and implementation evidence; it does not certify causality or performance.", "Lifecycle amendments, suspension, and retirement require accountable human authorization.", "Site Intelligence links provide evidence context; source methodology, freshness, and confidence remain visible." ] }

Named human actor Actor role Observation JSON{"indicator_id":"indicator-1","value":0,"source":"site-intelligence","confidence":"not specified"} Reassessment JSON{"reason":"Scheduled or trigger-based review","findings":[],"recommendation":"continue_with_monitoring","next_review_at":""} Amendment JSON{"summary":"","changes":[],"reason":""} Notes / retirement reason

Evaluate Outcomes Record Observation Reassess Amend Decision Retire Decision Download Monitoring JSON

Human-control boundary: monitoring may identify deviations and trigger reassessment, but it cannot automatically amend, suspend, approve, or retire a decision.

Public API, embeds & institutional integration

Publish safe summaries and exchange governed Decision Packets

Create governance-gated public dossiers, script-free readiness and scenario descriptors, signed institutional archives, Platform Core gateway records, and hash-addressed internal events.

Decision Packet 1.8

Privacy boundary: Public outputs remove invitation data, contact details, internal notes, raw private artifacts, and private Decision Room records. Institutional actions require an authenticated WordPress editor or administrator.

Archive label Internal event type Platform Core target

Integration payload JSON{}

Generate Public-safe Dossier Build Readiness Embed Build Scenario Embed Build Institutional Archive Build Platform Core Gateway Record Internal Event View SDK Contract Download Integration JSON

v1.16.0 · Accessibility, Offline Use, and Release Hardening

Validate access, recovery, migrations, and production release gates

Run an explicit engineering readiness review for keyboard and assistive-technology support, offline drafts, recovery snapshots, large-packet performance, backup and restore, privacy, and additive packet migration.

Boundary: Automated checks support release review but cannot establish full WCAG conformance, legal compliance, security assurance, or professional certification. Named humans still authorize release.

Accessibility profile JSON{"keyboard_navigation":true,"visible_focus":true,"semantic_landmarks":true,"form_labels":true,"screen_reader_status":true,"accessible_tables":true,"accessible_chart_alternatives":true,"reduced_motion":true,"contrast_review":true,"error_identification":true,"touch_target_size":true,"zoom_and_reflow":true} Offline and privacy profile JSON{"online":true,"queued_write_intents":true,"sensitive_cache_reviewed":true,"autosave_interval_seconds":15,"maximum_drafts":25} Performance profile JSON{"large_packet_tested":true,"mobile_tested":true,"cold_start_tested":true,"maximum_packet_bytes":5000000} Backup and restore profile JSON{"backup_tested":true,"restore_tested":true,"privacy_reviewed":true,"restore_drill_date":"2026-10-15"} Migration profile JSON{"from_schema":"scds-decision-packet/1.8","to_schema":"scds-decision-packet/2.0"} Recovery snapshot label

Accessibility Audit Offline Manifest Create Recovery Snapshot Assess Migration Run Release Readiness Download Hardening Record

Online status will be detected when this workspace initializes.

v2.0.0 · Connected Decision Intelligence Platform

End-to-end decision lifecycle

Assess the active Decision Packet across Frame, Research, Evidence, Model, Compare, Challenge, Review, Approve, Publish, Implement, Monitor, and Reassess. The platform routes gaps to the right Sustainable Catalyst product while preserving human control.

Human actorActor roleConfirm completed stageAssessment onlyFrameResearchGather EvidenceModelCompareChallenge AssumptionsReviewApprovePublishImplementMonitorReassessTransition reason

Assess LifecycleConfirm StageBuild Intelligence GraphBuild Portfolio IndexPrepare Connected ExchangeDownload Platform Record

Human-control boundary: Lifecycle assessment may recommend actions, but it cannot approve, publish, amend, suspend, retire, or externally deliver a decision.

Four-pillar scorecard

Environmental, social, economic, and governance scoring

Use transparent weights and indicators to compare viability across the four pillars.

Baseline annual emissions (tCO₂e) Expected emissions reduction (%) Implementation/adoption rate (%) CAPEX ($) Annual savings ($) Discount rate (%) Model years Implementation complexityLowMediumHighVery high

Environmental weightSocial weightEconomic weightGovernance weight

Risk and resilience

Map exposure, vulnerability, and mitigation capacity

Screen risk across cost, implementation, environmental, stakeholder, and governance dimensions.

Exposure score (0–100) Vulnerability score (0–100) Resilience / mitigation score (0–100) Stakeholder sensitivity (0–100) Governance readiness (0–100) Data confidence (0–100)

v2.5.0 · Scenario Comparison & Stress Testing

Test whether the decision holds under different conditions

Define named baseline, upside, downside, and stress conditions against the same Tradeoff Matrix. Compare score ranges, ordering changes, threshold breaches, and explicit failure modes without treating scenarios as forecasts or automatically selecting a winner.

Decision scenarios JSON[{"scenario_id":"baseline","name":"Baseline conditions","kind":"baseline","review_status":"reviewed"},{"scenario_id":"cost-pressure","name":"Cost pressure","kind":"downside","evaluation_overrides":[{"evaluation_id":"ev-a-cost","value":80}],"review_status":"reviewed"},{"scenario_id":"combined-stress","name":"Combined stress","kind":"stress","weight_overrides":[{"criterion_id":"cost","weight":80},{"criterion_id":"impact","weight":20}],"evaluation_overrides":[{"evaluation_id":"ev-a-cost","value":95},{"evaluation_id":"ev-a-impact","value":5}],"review_status":"reviewed"}]Stress-test configuration JSON{"max_allowed_score_drop":10,"max_allowed_threshold_violations":0,"require_complete_matrix":true,"minimum_process_confidence":60}

Build Scenario SetCompare ScenariosRun Stress TestsAttach to Decision ObjectDownload Scenario Analysis JSON

Scenario boundary: Scenario labels and stress cases are conditional assumptions, not likelihood estimates. A stress-test pass is not approval, certification, or a recommendation, and an ordering change is surfaced for review rather than resolved automatically.

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Advanced Scenario & Sensitivity Studio

Compare alternatives, vary assumptions, find thresholds, and inspect uncertainty

Model any number of alternatives, apply weighted criteria, run one-way and two-variable sensitivity screens, search for break-even points, compare time horizons, and review stakeholder distribution and reversibility.

Scenario Studio: scenario analysis is now an auditable studio rather than a fixed comparison table. Screening outputs remain conditional on the assumptions entered and should be routed to Workbench for probabilistic simulation, optimization, engineering, or domain forecasting.

Alternatives JSON [ { "id": "conservative", "label": "Conservative", "parameters": { "capex": 850000, "annualSavings": 145000, "reductionRate": 24, "adoptionRate": 52 }, "reversibility": 78, "stakeholderEquity": 55, "implementationComplexity": "Low" }, { "id": "expected", "label": "Expected", "parameters": [], "reversibility": 60, "stakeholderEquity": 62, "implementationComplexity": "Medium" }, { "id": "ambitious", "label": "Ambitious", "parameters": { "capex": 1120000, "annualSavings": 235000, "reductionRate": 44, "adoptionRate": 82 }, "reversibility": 38, "stakeholderEquity": 74, "implementationComplexity": "High" } ] Parameter ranges JSON { "capex": { "min": 700000, "max": 1250000, "steps": 5 }, "annualSavings": { "min": 100000, "max": 280000, "steps": 5 }, "adoptionRate": { "min": 45, "max": 90, "steps": 5 } } Criteria JSON [ { "id": "financial_value", "label": "Financial value", "metric": "npv", "weight": 20, "direction": "higher" }, { "id": "emissions_impact", "label": "Emissions impact", "metric": "annual_avoided_tco2e", "weight": 18, "direction": "higher" }, { "id": "risk_resilience", "label": "Risk and resilience", "metric": "risk_score", "weight": 16, "direction": "lower" }, { "id": "evidence_confidence", "label": "Evidence confidence", "metric": "confidence", "weight": 10, "direction": "higher" }, { "id": "stakeholder_equity", "label": "Stakeholder and distributional impact", "metric": "stakeholder_equity", "weight": 10, "direction": "higher" }, { "id": "implementation_feasibility", "label": "Implementation feasibility", "metric": "implementation_feasibility", "weight": 10, "direction": "higher" }, { "id": "reversibility", "label": "Reversibility and option value", "metric": "reversibility", "weight": 8, "direction": "higher" }, { "id": "time_to_value", "label": "Time to value", "metric": "payback_years", "weight": 8, "direction": "lower" } ]

Sensitivity parameters Break-even parameterAnnual savingsCAPEXAdoption rateReduction rateDiscount rate Target metricNPVDecision scoreAnnual avoided emissionsRisk score Target value Time horizons Grid points

Run Advanced Scenario Studio Run Sensitivity Find Break-Even Restore Sample Download Studio JSON Compatibility Matrix Recommend Workbench Handoffs

Compatibility scenario matrix

Workbench handoff

Send deeper calculations, graphs, and technical checks to Workbench

Decision Studio synthesizes the decision. Workbench performs deeper symbolic, graph, engineering, scenario, risk, economics, environmental QA/QC, and domain-specific analysis.

Workbench handoff: handoff recommendations include tool IDs, reasons, priorities, shortcodes, and a payload summary that can be used to continue analysis in Workbench.

Generate Workbench Handoff PlanDownload Handoff JSONRefresh Scenario Matrix

Saved Decision Packets & Export Center

Save the packet, reload prior work, and export the full decision bundle

Decision Studio can preserve the current Decision Packet as a browser-saved working record, generate a complete export bundle, and prepare JSON, Markdown, HTML, audit, readiness, scenario, and Workbench handoff exports.

Saved packets: saved packets are working records for review and continuation. Reviewed and public exports are governed by the current approval gate; internal draft exports remain available for controlled working use.

Export audience Internal working draft Reviewed institutional export Public decision dossier

Save Packet Locally Refresh Saved Packets Download Export Bundle JSON Download Brief Markdown Download Brief HTML Print / Save PDF

Saved packets

Export bundle

Integrated brief generator

Professional decision memo from the full Decision Packet

Generate a structured brief that synthesizes framing, evidence, scenarios, impact records, claim review, finance, recovery, four-pillar scores, audit/provenance, and Workbench handoffs.

Integrated brief: the brief generator now includes readiness status, scenario comparison matrix, Workbench handoff details, audit appendix summary, and Markdown/HTML/JSON exports.

Generate Integrated Brief Generate Basic Brief Generate AI Decision Brief Download Markdown Download HTML Download JSON Print / Save PDF

AI Decision Briefing Layer

Assumption critique, risk interpretation, and decision caveats

Generate a cautious, site-scoped decision-support brief through the configured backend AI provider when available. If the backend or provider is unavailable, Decision Studio returns a deterministic fallback brief.

AI boundary: AI output is a drafting and interpretation aid. It does not approve, certify, assure, or replace professional judgment.

Generate AI Decision BriefCheck Backend / AI Status

Audit & Provenance

Decision packet ledger, sources, assumptions, calculations, claims, changes, and review status

Generate a structured audit appendix that shows what was entered, which module artifacts are present, which sources support the decision, which calculations were used, and which assumptions still require review.

Audit and provenance: audit works with the readiness gate so unresolved evidence, source, calculation, finance, claim, and review issues can be surfaced before export.

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